Title: Cluster Evaluation on Graphs
Description: Evaluates the stability and significance of clusters on 'igraph' graphs.
Supports weighted and unweighted graphs. Implements the cluster evaluation methods
defined by Arratia A, Renedo M (2021) <doi:10.7717/peerj-cs.600>. Also includes an
implementation of the Reduced Mutual Information introduced by Newman et al. (2020)
<doi:10.1103/PhysRevE.101.042304>.
Author: Marti Renedo Mirambell
Maintainer: Marti Renedo Mirambell <marti.renedo@gmail.com>
Diff between clustAnalytics versions 0.5.4 dated 2023-06-03 and 0.5.5 dated 2024-02-18
clustAnalytics-0.5.4/clustAnalytics/R/clustAnalytics.R |only clustAnalytics-0.5.4/clustAnalytics/man/clustAnalytics.Rd |only clustAnalytics-0.5.5/clustAnalytics/DESCRIPTION | 12 clustAnalytics-0.5.5/clustAnalytics/MD5 | 42 clustAnalytics-0.5.5/clustAnalytics/R/RcppExports.R | 2 clustAnalytics-0.5.5/clustAnalytics/R/clustAnalytics-package.R |only clustAnalytics-0.5.5/clustAnalytics/R/scoring_functions_Rcpp.R | 2 clustAnalytics-0.5.5/clustAnalytics/build/partial.rdb |binary clustAnalytics-0.5.5/clustAnalytics/inst/doc/cluster_stability.R | 2 clustAnalytics-0.5.5/clustAnalytics/inst/doc/cluster_stability.html | 363 ++++- clustAnalytics-0.5.5/clustAnalytics/inst/doc/graph_rewiring_functions.R | 2 clustAnalytics-0.5.5/clustAnalytics/inst/doc/graph_rewiring_functions.html | 383 ++++- clustAnalytics-0.5.5/clustAnalytics/inst/doc/other_functions.R | 2 clustAnalytics-0.5.5/clustAnalytics/inst/doc/other_functions.html | 396 ++++-- clustAnalytics-0.5.5/clustAnalytics/inst/doc/scoring_functions.R | 2 clustAnalytics-0.5.5/clustAnalytics/inst/doc/scoring_functions.html | 334 ++++- clustAnalytics-0.5.5/clustAnalytics/inst/doc/stability_significance_examples.R | 2 clustAnalytics-0.5.5/clustAnalytics/inst/doc/stability_significance_examples.html | 654 ++++++---- clustAnalytics-0.5.5/clustAnalytics/man/auxiliary_functions.Rd | 2 clustAnalytics-0.5.5/clustAnalytics/man/clustAnalytics-package.Rd |only clustAnalytics-0.5.5/clustAnalytics/man/estimate_H_fractions.Rd | 2 clustAnalytics-0.5.5/clustAnalytics/src/count_contingency_tables_new.cpp | 2 clustAnalytics-0.5.5/clustAnalytics/tests/testthat/test_rewireCpp.R | 10 clustAnalytics-0.5.5/clustAnalytics/tests/testthat/test_scoring_functions.R | 7 24 files changed, 1649 insertions(+), 572 deletions(-)
More information about clustAnalytics at CRAN
Permanent link
Title: 'Roxygen' to 'Markdown'
Description: Converts elements of 'roxygen' documentation to 'markdown'.
Author: Kirill Mueller [aut, cre],
Heather Turner [ctb]
Maintainer: Kirill Mueller <kirill@cynkra.com>
Diff between roxygen2md versions 1.0.0 dated 2019-06-17 and 1.0.1 dated 2024-02-18
roxygen2md-1.0.0/roxygen2md/R/compat-purrr.R |only roxygen2md-1.0.1/roxygen2md/DESCRIPTION | 36 +--- roxygen2md-1.0.1/roxygen2md/MD5 | 29 +-- roxygen2md-1.0.1/roxygen2md/NEWS.md | 39 ++++ roxygen2md-1.0.1/roxygen2md/R/enc.R |only roxygen2md-1.0.1/roxygen2md/R/find.R | 2 roxygen2md-1.0.1/roxygen2md/R/import-standalone-purrr.R |only roxygen2md-1.0.1/roxygen2md/R/md.R | 29 ++- roxygen2md-1.0.1/roxygen2md/R/package.R | 5 roxygen2md-1.0.1/roxygen2md/R/roxygen2md-package.R |only roxygen2md-1.0.1/roxygen2md/R/rules.R | 92 ++++++++++ roxygen2md-1.0.1/roxygen2md/R/transform.R | 7 roxygen2md-1.0.1/roxygen2md/README.md | 134 ++++++++++------ roxygen2md-1.0.1/roxygen2md/man/markdownify.Rd | 27 ++- roxygen2md-1.0.1/roxygen2md/man/roxygen2md-package.Rd |only roxygen2md-1.0.1/roxygen2md/man/roxygen2md.Rd | 12 + roxygen2md-1.0.1/roxygen2md/tests/testthat.R | 8 roxygen2md-1.0.1/roxygen2md/tests/testthat/test-rules.R | 26 ++- 18 files changed, 336 insertions(+), 110 deletions(-)
Title: A Framework for Clustering Longitudinal Data
Description: A framework for clustering longitudinal datasets in a standardized way.
The package provides an interface to existing R packages for clustering longitudinal univariate trajectories, facilitating reproducible and transparent analyses.
Additionally, standard tools are provided to support cluster analyses, including repeated estimation, model validation, and model assessment.
The interface enables users to compare results between methods, and to implement and evaluate new methods with ease.
The 'akmedoids' package is available from <https://github.com/MAnalytics/akmedoids>.
Author: Niek Den Teuling [aut, cre] ,
Steffen Pauws [ctb],
Edwin van den Heuvel [ctb],
Koninklijke Philips N.V. [cph]
Maintainer: Niek Den Teuling <niek.den.teuling@philips.com>
Diff between latrend versions 1.5.1 dated 2023-03-17 and 1.6.0 dated 2024-02-18
DESCRIPTION | 56 MD5 | 314 ++-- NAMESPACE | 66 R/citation.R |only R/data.R | 576 ++++---- R/formula.R | 482 +++--- R/generics.R | 322 +++- R/make.R | 79 + R/matrix.R | 381 ++--- R/meta-method.R | 268 ++- R/method.R | 2619 ++++++++++++++++++------------------- R/methodAKMedoids.R | 206 +- R/methodCrimCV.R | 223 +-- R/methodDtwclust.R | 195 +- R/methodFlexmix.R | 235 +-- R/methodFunFEM.R | 211 +- R/methodGCKM.R | 158 +- R/methodKML.R | 283 ++- R/methodLcmmGBTM.R | 232 +-- R/methodLcmmGMM.R | 5 R/methodMclustLLPA.R | 236 +-- R/methodMixAK_GLMM.R | 271 +-- R/methodMixTVEM.R | 382 ++--- R/methodMixtoolsGMM.R | 257 +-- R/methodMixtoolsNPRM.R | 173 +- R/metrics.R | 28 R/metricsExternal.R | 1013 +++++++------- R/metricsInternal.R | 954 ++++++------- R/model.R | 281 +-- R/modelMixAK_GLMM.R | 163 +- R/modelMixAK_GLMMlist.R | 86 - R/models.R | 1189 ++++++++-------- R/trajectories.R | 675 ++++----- R/zzz.R | 458 +++--- build/partial.rdb |binary build/vignette.rds |binary inst/doc/demo.R | 30 inst/doc/demo.Rmd | 395 ++--- inst/doc/demo.html | 444 +++--- inst/doc/implement.R | 2 inst/doc/implement.Rmd | 433 +++--- inst/doc/implement.html | 286 ++-- inst/doc/simulation.R | 2 inst/doc/simulation.Rmd | 463 +++--- inst/doc/simulation.html | 334 ++-- inst/test-cases/method.R | 1 man/PAP.adh.Rd | 9 man/PAP.adh1y.Rd | 9 man/as.lcMethods.Rd | 2 man/as.lcModels.Rd | 2 man/as.list.lcMethod.Rd | 2 man/clusterNames.Rd | 2 man/clusterProportions.Rd | 21 man/clusterSizes.Rd | 2 man/clusterTrajectories.Rd | 25 man/coef.lcModel.Rd | 4 man/compose.Rd | 6 man/converged.Rd | 15 man/createTrainDataFolds.Rd | 2 man/defineExternalMetric.Rd | 2 man/defineInternalMetric.Rd | 2 man/deviance.lcModel.Rd | 2 man/df.residual.lcModel.Rd | 2 man/estimationTime.Rd | 18 man/evaluate.lcMethod.Rd | 2 man/externalMetric.Rd | 15 man/fit.Rd | 8 man/fitted.lcModel.Rd | 2 man/fittedTrajectories.Rd | 23 man/formula.lcMethod.Rd | 2 man/generateLongData.Rd | 3 man/getArgumentDefaults.Rd | 16 man/getArgumentExclusions.Rd | 16 man/getCall.lcModel.Rd | 2 man/getCitation.Rd |only man/getExternalMetricDefinition.Rd | 2 man/getExternalMetricNames.Rd | 2 man/getInternalMetricDefinition.Rd | 2 man/getInternalMetricNames.Rd | 2 man/getLabel.Rd | 16 man/getLcMethod.Rd | 14 man/getName.Rd | 32 man/idVariable.Rd | 12 man/ids.Rd | 2 man/indexy.Rd | 2 man/interface-akmedoids.Rd | 7 man/interface-crimCV.Rd | 12 man/interface-custom.Rd | 6 man/interface-dtwclust.Rd | 12 man/interface-featureBased.Rd | 4 man/interface-flexmix.Rd | 10 man/interface-funFEM.Rd | 10 man/interface-kml.Rd | 13 man/interface-lcmm.Rd | 15 man/interface-mclust.Rd | 14 man/interface-metaMethods.Rd | 2 man/interface-mixAK.Rd | 12 man/interface-mixtools.Rd | 17 man/interface-mixtvem.Rd | 9 man/is.Rd | 3 man/latrend-data.Rd | 6 man/latrend-generics.Rd | 127 - man/latrend-package.Rd | 4 man/latrendBatch.Rd | 4 man/latrendBoot.Rd | 6 man/latrendCV.Rd | 6 man/latrendRep.Rd | 4 man/lcApproxModel-class.Rd | 3 man/lcMatrixMethod-class.Rd | 2 man/lcMethod-class.Rd | 2 man/lcMethodAkmedoids.Rd | 4 man/lcModel-class.Rd | 2 man/lcModel-data-filters.Rd | 8 man/lcModel-make.Rd | 18 man/max.lcModels.Rd | 2 man/metric.Rd | 9 man/min.lcModels.Rd | 2 man/model.frame.lcModel.Rd | 2 man/nClusters.Rd | 12 man/nIds.Rd | 2 man/names-lcMethod-method.Rd | 4 man/nobs.lcModel.Rd | 2 man/plot-lcModel-method.Rd | 2 man/plotClusterTrajectories.Rd | 60 man/plotFittedTrajectories.Rd | 25 man/plotMetric.Rd | 2 man/plotTrajectories.Rd | 17 man/postFit.Rd | 6 man/postprob.Rd | 12 man/preFit.Rd | 6 man/predict.lcModel.Rd | 2 man/predictAssignments.Rd | 17 man/predictForCluster.Rd | 24 man/predictPostprob.Rd | 23 man/prepareData.Rd | 8 man/print.lcModels.Rd | 2 man/qqPlot.Rd | 9 man/residuals.lcModel.Rd | 2 man/responseVariable.Rd | 18 man/sigma.lcModel.Rd | 2 man/strip.Rd | 21 man/subset.lcModels.Rd | 2 man/time.lcModel.Rd | 2 man/timeVariable.Rd | 12 man/trajectories.Rd | 8 man/trajectoryAssignments.Rd | 24 man/transformFitted.Rd | 2 man/transformPredict.Rd | 2 man/tsframe.Rd | 6 man/tsmatrix.Rd | 9 man/update.lcMethod.Rd | 2 man/validate.Rd | 6 tests/testthat/test-akmedoids.R | 74 - tests/testthat/test-citation.R |only tests/testthat/test-make.R |only tests/testthat/test-mixak.R | 3 tests/testthat/test-plot.R | 173 +- vignettes/demo.Rmd | 395 ++--- vignettes/implement.Rmd | 433 +++--- vignettes/simulation.Rmd | 463 +++--- 160 files changed, 9320 insertions(+), 8700 deletions(-)
Title: Fast Gaussian Process Computation Using Vecchia's Approximation
Description: Functions for fitting and doing predictions with
Gaussian process models using Vecchia's (1988) approximation.
Package also includes functions for reordering input locations,
finding ordered nearest neighbors (with help from 'FNN' package),
grouping operations, and conditional simulations.
Covariance functions for spatial and spatial-temporal data
on Euclidean domains and spheres are provided. The original
approximation is due to Vecchia (1988)
<http://www.jstor.org/stable/2345768>, and the reordering and
grouping methods are from Guinness (2018)
<doi:10.1080/00401706.2018.1437476>.
Model fitting employs a Fisher scoring algorithm described
in Guinness (2019) <arXiv:1905.08374>.
Author: Joseph Guinness [aut, cre],
Matthias Katzfuss [aut],
Youssef Fahmy [aut]
Maintainer: Joseph Guinness <joeguinness@gmail.com>
Diff between GpGp versions 0.4.0 dated 2021-06-09 and 0.5.0 dated 2024-02-18
DESCRIPTION | 12 ++-- MD5 | 85 +++++++++++++++--------------- NEWS.md | 7 ++ R/GpGp.R | 1 R/RcppExports.R | 4 - R/fit_model.R | 2 R/nearest_neighbor_functions.R | 6 -- R/ordering_functions.R | 7 ++ R/predictions.R | 47 ++++++++++++---- R/simulation_functions.R | 5 + README.md | 7 -- man/GpGp.Rd | 11 +++ man/exponential_anisotropic2D.Rd | 4 - man/exponential_anisotropic3D.Rd | 4 - man/exponential_anisotropic3D_alt.Rd | 4 - man/exponential_isotropic.Rd | 8 +- man/exponential_nonstat_var.Rd | 4 - man/exponential_scaledim.Rd | 4 - man/exponential_spacetime.Rd | 6 +- man/exponential_sphere.Rd | 4 - man/exponential_sphere_warp.Rd | 4 - man/exponential_spheretime.Rd | 4 - man/exponential_spheretime_warp.Rd | 4 - man/matern15_scaledim.Rd | 4 - man/matern25_scaledim.Rd | 4 - man/matern35_isotropic.Rd | 6 +- man/matern35_scaledim.Rd | 6 +- man/matern_anisotropic2D.Rd | 4 - man/matern_anisotropic3D.Rd | 6 +- man/matern_categorical.Rd | 4 - man/matern_isotropic.Rd | 4 - man/matern_nonstat_var.Rd | 4 - man/matern_scaledim.Rd | 4 - man/matern_spacetime.Rd | 6 +- man/matern_spacetime_categorical.Rd | 4 - man/matern_spacetime_categorical_local.Rd | 4 - man/matern_sphere.Rd | 4 - man/matern_sphere_warp.Rd | 4 - man/matern_spheretime.Rd | 4 - man/matern_spheretime_warp.Rd | 4 - man/order_coordinate.Rd | 2 src/RcppExports.cpp | 5 + src/covmatrix_funs_03.h | 4 - tests/testthat/test_1d.R |only 44 files changed, 190 insertions(+), 141 deletions(-)
Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.
Author: Mark Stevenson [aut, cre] ,
Evan Sergeant [aut],
Cord Heuer [ctb],
Telmo Nunes [ctb],
Cord Heuer [ctb],
Jonathon Marshall [ctb],
Javier Sanchez [ctb],
Ron Thornton [ctb],
Jeno Reiczigel [ctb],
Jim Robison-Cox [ctb],
Paola Sebastiani [ctb],
Peter Soly [...truncated...]
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>
Diff between epiR versions 2.0.67 dated 2024-01-09 and 2.0.68 dated 2024-02-18
DESCRIPTION | 8 +++--- MD5 | 24 ++++++++++---------- NEWS | 7 +++++ R/epi.interaction.R | 3 +- inst/doc/epiR_descriptive.R | 2 - inst/doc/epiR_descriptive.html | 18 +++++++-------- inst/doc/epiR_measures_of_association.R | 34 ++++++++++++++--------------- inst/doc/epiR_measures_of_association.html | 12 +++++----- inst/doc/epiR_sample_size.R | 2 - inst/doc/epiR_sample_size.html | 4 +-- inst/doc/epiR_surveillance.R | 2 - inst/doc/epiR_surveillance.html | 14 +++++------ man/epi.interaction.Rd | 4 +-- 13 files changed, 71 insertions(+), 63 deletions(-)
Title: Efficiently Impute Large Scale Incomplete Matrix
Description: Efficiently impute large scale matrix with missing values via its unbiased low-rank matrix approximation. Our main approach is Hard-Impute algorithm proposed in <https://www.jmlr.org/papers/v11/mazumder10a.html>, which achieves highly computational advantage by truncated singular-value decomposition.
Author: Zhe Gao [aut, cre],
Jin Zhu [aut],
Junxian Zhu [aut],
Xueqin Wang [aut],
Yixuan Qiu [cph],
Gael Guennebaud [cph, ctb],
Jitse Niesen [cph, ctb],
Ray Gardner [ctb]
Maintainer: Zhe Gao <gaozh8@mail.ustc.edu.cn>
Diff between eimpute versions 0.2.2 dated 2022-10-22 and 0.2.3 dated 2024-02-18
DESCRIPTION | 22 - MD5 | 22 - NEWS.md | 4 R/RcppExports.R | 126 +++---- README.md | 2 build/vignette.rds |binary inst/doc/eimpute.R | 44 +- inst/doc/eimpute.html | 859 ++++++++++++++++++++++++++------------------------ src/Makevars | 8 src/Makevars.win | 8 src/RcppExports.cpp | 4 src/biscale.cpp | 2 12 files changed, 584 insertions(+), 517 deletions(-)
Title: Optimal Transport Weights for Causal Inference
Description: Uses optimal transport distances to find probabilistic
matching estimators for causal inference.
These methods are described in Dunipace, Eric (2021) <arXiv:2109.01991>.
The package will build the weights, estimate treatment effects, and
calculate confidence intervals via the methods described in the paper.
The package also supports several other methods as described in the help
files.
Author: Eric Dunipace [aut, cre]
Maintainer: Eric Dunipace <edunipace@mail.harvard.edu>
Diff between causalOT versions 1.0.1 dated 2023-11-30 and 1.0.2 dated 2024-02-18
causalOT-1.0.1/causalOT/inst/doc/oopCOT.R |only causalOT-1.0.2/causalOT/DESCRIPTION | 13 - causalOT-1.0.2/causalOT/MD5 | 27 +- causalOT-1.0.2/causalOT/NEWS.md | 8 causalOT-1.0.2/causalOT/R/OT.R | 106 +++++----- causalOT-1.0.2/causalOT/R/barycentricProjection.R | 6 causalOT-1.0.2/causalOT/R/cotOOP.R | 8 causalOT-1.0.2/causalOT/R/utils.R | 18 + causalOT-1.0.2/causalOT/README.md | 2 causalOT-1.0.2/causalOT/build/vignette.rds |binary causalOT-1.0.2/causalOT/inst/doc/oopCOT.html | 22 +- causalOT-1.0.2/causalOT/inst/doc/usage.html | 8 causalOT-1.0.2/causalOT/man/causalOT-package.Rd | 2 causalOT-1.0.2/causalOT/tests/testthat/setup.R | 5 causalOT-1.0.2/causalOT/tests/testthat/test-barycentric_projection.R | 6 15 files changed, 126 insertions(+), 105 deletions(-)
Title: Fully Parameterized Generalized Wendland Covariance Function
Description: A fully parameterized Generalized Wendland covariance function for use in Gaussian process models, as well as multiple methods for approximating it via covariance interpolation. The available methods are linear interpolation, polynomial interpolation, and cubic spline interpolation.
Moreno Bevilacqua and Reinhard Furrer and Tarik Faouzi and Emilio Porcu (2019) <url:<https://projecteuclid.org/journalArticle/Download?urlId=10.1214%2F17-AOS1652 >>.
Moreno Bevilacqua and Christian Caamaño-Carrillo and Emilio Porcu (2022) <arXiv:2008.02904>.
Reinhard Furrer and Roman Flury and Florian Gerber (2022) <url:<https://CRAN.R-project.org/package=spam >>.
Author: Thomas C. Fischer [aut, cre],
Reinhard Furrer [aut, ths],
Josef Stocker [aut]
Maintainer: Thomas C. Fischer <thomascasparfischer@gmail.com>
Diff between GeneralizedWendland versions 0.5-2 dated 2022-06-22 and 0.6.0 dated 2024-02-18
DESCRIPTION | 8 - MD5 | 13 +- NEWS.md |only R/functionFactory_MaxLikEstim.R | 94 +++++++++++---------- build/vignette.rds |binary man/factory-mleFactory.Rd | 160 ++++++++++++++++++------------------ man/generalizedwendland-internal.Rd | 118 +++++++++++++------------- src/wendland.cpp | 7 - 8 files changed, 204 insertions(+), 196 deletions(-)
More information about GeneralizedWendland at CRAN
Permanent link
Title: Computation of Optimal Transport Plans and Wasserstein Distances
Description: Solve optimal transport problems. Compute Wasserstein distances (a.k.a. Kantorovitch, Fortet--Mourier, Mallows, Earth Mover's, or minimal L_p distances), return the corresponding transference plans, and display them graphically. Objects that can be compared include grey-scale images, (weighted) point patterns, and mass vectors.
Author: Dominic Schuhmacher [aut, cre],
Bjoern Baehre [aut] ,
Nicolas Bonneel [aut] ,
Carsten Gottschlich [aut] ,
Valentin Hartmann [aut] ,
Florian Heinemann [aut] ,
Bernhard Schmitzer [aut] ,
Joern Schrieber [aut] ,
Timo Wilm [ctb]
Maintainer: Dominic Schuhmacher <dominic.schuhmacher@mathematik.uni-goettingen.de>
Diff between transport versions 0.14-6 dated 2023-07-02 and 0.14-7 dated 2024-02-18
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- NEWS | 16 ++++++++++++---- build/partial.rdb |binary man/transport-internal.Rd | 5 +++-- 5 files changed, 23 insertions(+), 14 deletions(-)
Title: Analysis of Large Affymetrix Microarray Data Sets
Description: A cross-platform R framework that facilitates processing of any number of Affymetrix microarray samples regardless of computer system. The only parameter that limits the number of chips that can be processed is the amount of available disk space. The Aroma Framework has successfully been used in studies to process tens of thousands of arrays. This package has actively been used since 2006.
Author: Henrik Bengtsson [aut, cre, cph],
James Bullard [ctb],
Kasper Hansen [ctb],
Pierre Neuvial [ctb],
Elizabeth Purdom [ctb],
Mark Robinson [ctb],
Ken Simpson [ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>
Diff between aroma.affymetrix versions 3.2.1 dated 2022-07-18 and 3.2.2 dated 2024-02-18
aroma.affymetrix-3.2.1/aroma.affymetrix/man/nbrOfArrays.AffymetrixCelSet.Rd |only aroma.affymetrix-3.2.1/aroma.affymetrix/man/setupExampleData.Rd |only aroma.affymetrix-3.2.2/aroma.affymetrix/DESCRIPTION | 6 aroma.affymetrix-3.2.2/aroma.affymetrix/MD5 | 100 ++++------ aroma.affymetrix-3.2.2/aroma.affymetrix/NEWS | 9 aroma.affymetrix-3.2.2/aroma.affymetrix/R/AffymetrixCdfFile.R | 2 aroma.affymetrix-3.2.2/aroma.affymetrix/R/AffymetrixCdfFile.getAlleleProbePairs.R | 2 aroma.affymetrix-3.2.2/aroma.affymetrix/R/AffymetrixCdfFile.getAlleleProbePairs3.R | 2 aroma.affymetrix-3.2.2/aroma.affymetrix/R/AffymetrixCelFile.PLOT.R | 5 aroma.affymetrix-3.2.2/aroma.affymetrix/R/AffymetrixCelSet.R | 3 aroma.affymetrix-3.2.2/aroma.affymetrix/R/AffymetrixCnChpSet.R | 2 aroma.affymetrix-3.2.2/aroma.affymetrix/R/AromaChipTypeAnnotationFile.R | 2 aroma.affymetrix-3.2.2/aroma.affymetrix/R/AromaUnitTabularBinaryFile.AFFX.R | 5 aroma.affymetrix-3.2.2/aroma.affymetrix/R/ArrayExplorer.R | 2 aroma.affymetrix-3.2.2/aroma.affymetrix/R/BackgroundCorrection.R | 3 aroma.affymetrix-3.2.2/aroma.affymetrix/R/ChipEffectSet.R | 2 aroma.affymetrix-3.2.2/aroma.affymetrix/R/CnPlm.R | 2 aroma.affymetrix-3.2.2/aroma.affymetrix/R/CnagCfhFile.R | 2 aroma.affymetrix-3.2.2/aroma.affymetrix/R/CnagCfhSet.R | 2 aroma.affymetrix-3.2.2/aroma.affymetrix/R/DChipDcpSet.R | 2 aroma.affymetrix-3.2.2/aroma.affymetrix/R/DChipSnpInformation.R | 7 aroma.affymetrix-3.2.2/aroma.affymetrix/R/ExonChipEffectFile.R | 2 aroma.affymetrix-3.2.2/aroma.affymetrix/R/FirmaModel.R | 1 aroma.affymetrix-3.2.2/aroma.affymetrix/R/FragmentEquivalentClassNormalization.R | 4 aroma.affymetrix-3.2.2/aroma.affymetrix/R/SmoothMultiarrayModel.fit.R | 3 aroma.affymetrix-3.2.2/aroma.affymetrix/R/SnpPlm.R | 2 aroma.affymetrix-3.2.2/aroma.affymetrix/R/Transform.R | 1 aroma.affymetrix-3.2.2/aroma.affymetrix/R/UgpGenomeInformation.R | 4 aroma.affymetrix-3.2.2/aroma.affymetrix/R/fitPlasqUnit.R | 2 aroma.affymetrix-3.2.2/aroma.affymetrix/R/setupExampleData.R | 1 aroma.affymetrix-3.2.2/aroma.affymetrix/inst/CITATION | 56 ++--- aroma.affymetrix-3.2.2/aroma.affymetrix/man/AffymetrixCelSet.Rd | 1 aroma.affymetrix-3.2.2/aroma.affymetrix/man/CnPlm.Rd | 2 aroma.affymetrix-3.2.2/aroma.affymetrix/man/SnpPlm.Rd | 2 aroma.affymetrix-3.2.2/aroma.affymetrix/man/allocateFromCdf.AromaUnitTabularBinaryFile.Rd | 5 aroma.affymetrix-3.2.2/aroma.affymetrix/man/byChipType.DChipSnpInformation.Rd | 7 aroma.affymetrix-3.2.2/aroma.affymetrix/man/byChipType.UgpGenomeInformation.Rd | 4 aroma.affymetrix-3.2.2/aroma.affymetrix/man/calculateResidualSet.FirmaModel.Rd | 1 aroma.affymetrix-3.2.2/aroma.affymetrix/man/findByChipType.AromaChipTypeAnnotationFile.Rd | 2 aroma.affymetrix-3.2.2/aroma.affymetrix/man/fit.SmoothMultiarrayModel.Rd | 3 aroma.affymetrix-3.2.2/aroma.affymetrix/man/getAlleleProbePairs.AffymetrixCdfFile.Rd | 2 aroma.affymetrix-3.2.2/aroma.affymetrix/man/getAlleleProbePairs3.AffymetrixCdfFile.Rd | 2 aroma.affymetrix-3.2.2/aroma.affymetrix/man/getCellIndices.ExonChipEffectFile.Rd | 2 aroma.affymetrix-3.2.2/aroma.affymetrix/man/getImage.AffymetrixCelFile.Rd | 1 aroma.affymetrix-3.2.2/aroma.affymetrix/man/getOutputDataSet.Transform.Rd | 1 aroma.affymetrix-3.2.2/aroma.affymetrix/man/getUnitTypes.AffymetrixCdfFile.Rd | 1 aroma.affymetrix-3.2.2/aroma.affymetrix/man/plotMvsX.AffymetrixCelFile.Rd | 4 aroma.affymetrix-3.2.2/aroma.affymetrix/man/process.BackgroundCorrection.Rd | 3 aroma.affymetrix-3.2.2/aroma.affymetrix/man/readUnits.CnagCfhFile.Rd | 2 aroma.affymetrix-3.2.2/aroma.affymetrix/man/setArrays.ArrayExplorer.Rd | 2 aroma.affymetrix-3.2.2/aroma.affymetrix/man/setRestructor.AffymetrixCdfFile.Rd | 1 aroma.affymetrix-3.2.2/aroma.affymetrix/man/setupExampleData.AromaAffymetrix.Rd | 1 52 files changed, 116 insertions(+), 169 deletions(-)
More information about aroma.affymetrix at CRAN
Permanent link
Title: Efficient Bayesian Inference for Time-Varying Parameter Models
with Shrinkage
Description: Efficient Markov chain Monte Carlo (MCMC) algorithms for fully Bayesian estimation of time-varying parameter models with shrinkage priors, both dynamic and static. Details on the algorithms used are provided in Bitto and Frühwirth-Schnatter (2019) <doi:10.1016/j.jeconom.2018.11.006> and
Cadonna et al. (2020) <doi:10.3390/econometrics8020020> and Knaus and Frühwirth-Schnatter (2023) <doi:10.48550/arXiv.2312.10487>. For details on the package, please see Knaus et al. (2021) <doi:10.18637/jss.v100.i13>.
Author: Peter Knaus [aut, cre] ,
Angela Bitto-Nemling [aut],
Annalisa Cadonna [aut] ,
Sylvia Fruehwirth-Schnatter [aut]
,
Daniel Winkler [ctb],
Kemal Dingic [ctb]
Maintainer: Peter Knaus <peter.knaus@wu.ac.at>
Diff between shrinkTVP versions 2.1.1 dated 2023-11-22 and 3.0.1 dated 2024-02-18
DESCRIPTION | 14 MD5 | 96 - NAMESPACE | 88 - NEWS.md | 133 - R/Imports.R | 42 R/exports.R | 39 R/plot_functions.R | 956 ++++++------- R/pred_funs.R | 698 +++++---- R/shrinkDTVP.R |only R/shrinkTVP.R | 2472 +++++++++++++++++----------------- R/shrinkTVP_methods.R | 545 +++---- R/simTVP.R | 413 +++-- R/utilities.R | 375 ++--- build/vignette.rds |binary inst/CITATION | 40 inst/doc/shrinkTVP.ltx | 2636 ++++++++++++++++++------------------- inst/doc/shrinkTVP.pdf |binary man/LPDS.Rd | 96 - man/eval_pred_dens.Rd | 120 - man/fitted.shrinkTVP.Rd | 98 - man/forecast_shrinkTVP.Rd | 110 - man/plot.mcmc.tvp.Rd | 218 +-- man/plot.shrinkTVP.Rd | 134 - man/plot.shrinkTVP_forc.Rd | 94 - man/predict.shrinkTVP.Rd | 98 - man/print.shrinkTVP.Rd | 44 man/residuals.shrinkTVP.Rd | 94 - man/shrinkDTVP.Rd |only man/shrinkTVP.Rd | 636 ++++---- man/simTVP.Rd | 178 +- man/updateTVP.Rd | 518 +++---- src/Makevars | 4 src/Makevars.win | 4 src/R_utilities.cpp | 7 src/common_sampling_functions.cpp | 74 - src/common_sampling_functions.h | 8 src/cpp_utilities.cpp | 18 src/cpp_utilities.h | 19 src/do_rgig1.cpp | 2 src/dyn_sampling_steps.cpp |only src/dyn_sampling_steps.h |only src/exports.cpp | 93 + src/rho_p_MH_step.cpp |only src/rho_p_MH_step.h |only src/sample_beta_McCausland_dyn.cpp |only src/sample_beta_McCausland_dyn.h |only src/shrinkDTVP.cpp |only src/shrinkTVP.cpp | 38 tests/testthat.R | 8 tests/testthat/Rplots.pdf |binary tests/testthat/test_shrinkDTVP.R |only tests/testthat/test_shrinkTVP.R | 186 +- vignettes/shrinkTVP.bib | 834 +++++------ vignettes/shrinkTVP.ltx | 2636 ++++++++++++++++++------------------- 54 files changed, 7661 insertions(+), 7255 deletions(-)
Title: Computes Revisitation Metrics for Trajectory Data
Description: Computes revisitation metrics for trajectory data, such as the number of revisitations for each location as well as the time spent for that visit and the time since the previous visit. Also includes functions to plot data.
Author: Chloe Bracis [aut, cre]
Maintainer: Chloe Bracis <cbracis@uw.edu>
Diff between recurse versions 1.2.0 dated 2023-11-08 and 1.3.0 dated 2024-02-18
DESCRIPTION | 10 - MD5 | 22 ++-- NEWS.md | 4 R/getRecursionsInPolygon.R | 31 ++--- R/getRecursionsInPolygon.data.frame.R | 185 +++++++++++++++++++++++++++++++++- build/vignette.rds |binary inst/doc/recurse.R | 11 ++ inst/doc/recurse.Rmd | 14 ++ inst/doc/recurse.html | 129 +++++++++++++---------- man/getRecursionsInPolygon.Rd | 30 ++--- tests/testthat/test_recurse.R | 14 ++ vignettes/recurse.Rmd | 14 ++ 12 files changed, 351 insertions(+), 113 deletions(-)
Title: Generate Generative Data for a Data Source
Description: Generative Adversarial Networks are applied to generate generative data for a data source. A generative model consisting of a generator and a discriminator network is trained. In iterated training steps the distribution of generated data is converging to that of the data source. Direct applications of generative data are the created functions for data classifying and missing data completion. Reference: Goodfellow et al. (2014) <arXiv:1406.2661v1>.
Author: Werner Mueller
Maintainer: Werner Mueller <werner.mueller5@chello.at>
Diff between ganGenerativeData versions 1.5.6 dated 2024-01-08 and 1.5.7 dated 2024-02-18
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- R/gdPlotProjection.R | 5 +++-- man/ganGenerativeData-package.Rd | 11 +++++++---- man/gdRead.Rd | 5 +++-- 5 files changed, 21 insertions(+), 16 deletions(-)
More information about ganGenerativeData at CRAN
Permanent link
Title: Tools for Survey Statistics in Educational Assessment
Description: Contains tools for survey statistics (especially in educational
assessment) for datasets with replication designs (jackknife,
bootstrap, replicate weights; see Kolenikov, 2010;
Pfefferman & Rao, 2009a, 2009b, <doi:10.1016/S0169-7161(09)70003-3>,
<doi:10.1016/S0169-7161(09)70037-9>); Shao, 1996,
<doi:10.1080/02331889708802523>).
Descriptive statistics, linear and logistic regression,
path models for manifest variables with measurement error
correction and two-level hierarchical regressions for weighted
samples are included. Statistical inference can be conducted for
multiply imputed datasets and nested multiply imputed datasets
and is in particularly suited for the analysis of plausible values
(for details see George, Oberwimmer & Itzlinger-Bruneforth, 2016;
Bruneforth, Oberwimmer & Robitzsch, 2016; Robitzsch, Pham &
Yanagida, 2016). The package development was supported by BIFIE
(Federal Institute for Educational Research, Innovation and Development
of [...truncated...]
Author: BIFIE [aut], Alexander Robitzsch [aut, cre],
Konrad Oberwimmer [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>
Diff between BIFIEsurvey versions 3.4-15 dated 2022-04-04 and 3.5-19 dated 2024-02-18
BIFIEsurvey-3.4-15/BIFIEsurvey/R/print.object.summary.R |only BIFIEsurvey-3.4-15/BIFIEsurvey/R/vcov.BIFIE.survey.R |only BIFIEsurvey-3.5-19/BIFIEsurvey/DESCRIPTION | 13 - BIFIEsurvey-3.5-19/BIFIEsurvey/MD5 | 80 +++++----- BIFIEsurvey-3.5-19/BIFIEsurvey/R/BIFIE.by.R | 4 BIFIEsurvey-3.5-19/BIFIEsurvey/R/BIFIE.correl.R | 10 - BIFIEsurvey-3.5-19/BIFIEsurvey/R/BIFIE.crosstab.R | 8 - BIFIEsurvey-3.5-19/BIFIEsurvey/R/BIFIE.derivedParameters.R | 4 BIFIEsurvey-3.5-19/BIFIEsurvey/R/BIFIE.ecdf.R | 4 BIFIEsurvey-3.5-19/BIFIEsurvey/R/BIFIE.freq.R | 9 - BIFIEsurvey-3.5-19/BIFIEsurvey/R/BIFIE.linreg.R | 4 BIFIEsurvey-3.5-19/BIFIEsurvey/R/BIFIE.logistreg.R | 4 BIFIEsurvey-3.5-19/BIFIEsurvey/R/BIFIE.mva.R | 4 BIFIEsurvey-3.5-19/BIFIEsurvey/R/BIFIE.pathmodel.R | 4 BIFIEsurvey-3.5-19/BIFIEsurvey/R/BIFIE.twolevelreg.R | 4 BIFIEsurvey-3.5-19/BIFIEsurvey/R/BIFIE.univar.R | 6 BIFIEsurvey-3.5-19/BIFIEsurvey/R/BIFIE.univar.test.R | 8 - BIFIEsurvey-3.5-19/BIFIEsurvey/R/BIFIE_lavaan_survey_lavaan_survey.R | 8 - BIFIEsurvey-3.5-19/BIFIEsurvey/R/BIFIE_waldtest_summary_print_test_statistics.R | 6 BIFIEsurvey-3.5-19/BIFIEsurvey/R/RcppExports.R | 2 BIFIEsurvey-3.5-19/BIFIEsurvey/R/extract.replicated.pars.R | 4 BIFIEsurvey-3.5-19/BIFIEsurvey/R/print_object_summary.R |only BIFIEsurvey-3.5-19/BIFIEsurvey/R/svrepdesign2BIFIEdata.R | 2 BIFIEsurvey-3.5-19/BIFIEsurvey/R/vcov_BIFIE.survey.R |only BIFIEsurvey-3.5-19/BIFIEsurvey/README.md | 4 BIFIEsurvey-3.5-19/BIFIEsurvey/build/partial.rdb |binary BIFIEsurvey-3.5-19/BIFIEsurvey/data/data.bifie01.rda |binary BIFIEsurvey-3.5-19/BIFIEsurvey/data/data.pisaNLD.rda |binary BIFIEsurvey-3.5-19/BIFIEsurvey/data/data.test1.rda |binary BIFIEsurvey-3.5-19/BIFIEsurvey/data/data.timss1.ind.rda |binary BIFIEsurvey-3.5-19/BIFIEsurvey/data/data.timss1.rda |binary BIFIEsurvey-3.5-19/BIFIEsurvey/data/data.timss2.rda |binary BIFIEsurvey-3.5-19/BIFIEsurvey/data/data.timss3.rda |binary BIFIEsurvey-3.5-19/BIFIEsurvey/data/data.timss4.rda |binary BIFIEsurvey-3.5-19/BIFIEsurvey/data/data.timssrep.rda |binary BIFIEsurvey-3.5-19/BIFIEsurvey/inst/CITATION | 4 BIFIEsurvey-3.5-19/BIFIEsurvey/inst/NEWS | 10 + BIFIEsurvey-3.5-19/BIFIEsurvey/man/BIFIE.lavaan.survey.Rd | 8 - BIFIEsurvey-3.5-19/BIFIEsurvey/man/BIFIE.pathmodel.Rd | 4 BIFIEsurvey-3.5-19/BIFIEsurvey/man/BIFIEsurvey-package.Rd | 4 BIFIEsurvey-3.5-19/BIFIEsurvey/man/data.pisaNLD.Rd | 4 BIFIEsurvey-3.5-19/BIFIEsurvey/src/RcppExports.cpp | 2 BIFIEsurvey-3.5-19/BIFIEsurvey/src/bifiesurvey_rcpp_logistreg.cpp | 6 43 files changed, 124 insertions(+), 110 deletions(-)
Title: Preprocessing and Feature Engineering Steps for Modeling
Description: A recipe prepares your data for modeling. We provide an
extensible framework for pipeable sequences of feature engineering
steps provides preprocessing tools to be applied to data. Statistical
parameters for the steps can be estimated from an initial data set and
then applied to other data sets. The resulting processed output can
then be used as inputs for statistical or machine learning models.
Author: Max Kuhn [aut, cre],
Hadley Wickham [aut],
Emil Hvitfeldt [aut],
Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>
Diff between recipes versions 1.0.9 dated 2023-12-13 and 1.0.10 dated 2024-02-18
DESCRIPTION | 8 ++++---- MD5 | 20 ++++++++++---------- NEWS.md | 6 ++++++ R/dummy.R | 2 +- R/log.R | 3 ++- R/recipe.R | 3 ++- inst/doc/Selecting_Variables.html | 2 +- tests/testthat/_snaps/basics.md | 8 ++++---- tests/testthat/_snaps/dummy.md | 12 ++++++------ tests/testthat/_snaps/slice.md | 2 +- tests/testthat/_snaps/unknown.md | 4 ++-- 11 files changed, 39 insertions(+), 31 deletions(-)
Title: Create Pharmacometric Models
Description: Provides a user interface to create or modify pharmacometric
models for various modeling and simulation software platforms.
Author: Sebastien Bihorel [cre, aut]
Maintainer: Sebastien Bihorel <sb.pmlab@gmail.com>
Diff between pmxcode versions 0.1.1 dated 2023-05-19 and 0.1.2 dated 2024-02-18
DESCRIPTION | 16 - LICENSE | 2 MD5 | 151 +++++---- NAMESPACE | 1 NEWS.md | 5 R/app_server.R | 2 R/app_ui.R | 46 ++ R/covariates_ui.R | 2 R/get_code.R | 2 R/get_labelunit.R | 12 R/golem_utils_ui.R | 12 R/info.R | 2 R/modals.R |only R/new_model_server.R | 505 ++++++++++++++++++++------------ R/new_model_ui.R | 100 +----- R/pmxcode-package.R | 1 R/run_app.R | 2 R/utils.R | 1 R/utils_code.R |only R/utils_common.R | 38 +- R/utils_covariates.R |only R/utils_mrgsolve.R | 26 - R/utils_nonmem.R | 92 +++-- R/zzz.R | 4 build/vignette.rds |binary inst/app/www/copy_grey.svg |only inst/app/www/download_grey.svg |only inst/app/www/duplicate.svg |only inst/app/www/duplicate_grey.svg |only inst/app/www/extract.svg |only inst/app/www/extract_grey.svg |only inst/app/www/minus_grey.svg |only inst/app/www/paste_grey.svg |only inst/app/www/plus_grey.svg |only inst/app/www/upload_grey.svg |only inst/doc/intro.R | 2 inst/doc/intro.html | 50 --- inst/resources/covariate_help.Rmd |only inst/resources/covariate_help.md |only inst/resources/info.Rmd | 10 inst/resources/info.md | 30 + man/check_covariate_table.Rd |only man/check_incomplete_covariate_table.Rd |only man/convert_reference_code.Rd |only man/create_univariate_models.Rd |only man/file_exists.Rd |only man/get_code.Rd | 2 man/get_derived_parms_code.Rd | 2 man/get_init_code.Rd | 2 man/get_mrg_parms_code.Rd | 2 man/get_mrgsolve_code.Rd | 2 man/get_ncmts.Rd | 2 man/get_nonmem_blocks.Rd |only man/get_nonmem_code.Rd | 2 man/get_parms_code.Rd | 2 man/get_preamble_code.Rd | 2 man/get_scaling_code.Rd | 2 man/get_theta_number.Rd |only man/hot_to_r_raw.Rd |only man/new_model_server.Rd | 2 man/replace_abbreviated.Rd | 2 man/replace_data.Rd | 2 man/replace_des.Rd | 2 man/replace_error.Rd | 2 man/replace_input.Rd | 2 man/replace_model.Rd | 2 man/replace_mrg_capture.Rd | 2 man/replace_mrg_cmt.Rd | 2 man/replace_mrg_global.Rd | 2 man/replace_mrg_main_pred.Rd | 2 man/replace_mrg_ode.Rd | 2 man/replace_mrg_omega.Rd | 2 man/replace_mrg_param.Rd | 2 man/replace_mrg_plugin.Rd | 2 man/replace_mrg_sigma.Rd | 2 man/replace_mrg_table.Rd | 2 man/replace_nmext.Rd | 2 man/replace_path.Rd | 2 man/replace_pk_pred.Rd | 7 man/replace_prior.Rd | 2 man/replace_problem.Rd | 2 man/replace_purpose.Rd | 2 man/replace_sigma.Rd | 2 man/replace_subroutine.Rd | 2 man/replace_table.Rd | 2 man/replace_tags.Rd | 2 man/replace_task.Rd | 2 man/run_app.Rd | 3 88 files changed, 699 insertions(+), 499 deletions(-)
Title: Smoother Change Tracking and Versioning for R Packages
Description: Streamlines the process of updating changelogs (NEWS.md)
and versioning R packages developed in git repositories.
Author: Kirill Mueller [aut, cre, cph] ,
Patrick Schratz [aut] ,
Maelle Salmon [ctb]
Maintainer: Kirill Mueller <kirill@cynkra.com>
Diff between fledge versions 0.1.1 dated 2023-06-17 and 0.1.2 dated 2024-02-18
DESCRIPTION | 14 ++++---- MD5 | 35 +++++++++++----------- NAMESPACE | 1 NEWS.md | 9 +++++ R/enc.R |only R/import.R | 2 - R/repo-helper.R | 9 +++++ R/update-news.R | 2 - build/vignette.rds |binary inst/doc/demo.R | 4 +- inst/doc/demo.html | 18 +++++------ inst/doc/fledge.R | 2 - inst/doc/fledge.html | 2 - inst/doc/internals.R | 2 - inst/doc/internals.html | 2 - tests/testthat/_snaps/rlang-1/bump_version.md | 14 +++++++- tests/testthat/_snaps/rlang-1/finalize-version.md | 8 +++-- tests/testthat/_snaps/rlang-1/unbump_version.md | 18 +++++++++-- tests/testthat/_snaps/tag_version.md | 8 +++-- 19 files changed, 98 insertions(+), 52 deletions(-)
Title: Inference for Spatiotemporal Partially Observed Markov Processes
Description: Inference on panel data using spatiotemporal partially-observed Markov process (SpatPOMP) models. The 'spatPomp' package extends 'pomp' to include algorithms taking advantage of the spatial structure in order to assist with handling high dimensional processes. See Asfaw et al. (2023) <arXiv:2101.01157> for further description of the package.
Author: Kidus Asfaw [aut],
Edward Ionides [cre, aut],
Aaron A. King [aut],
Allister Ho [ctb],
Joonha Park [ctb],
Jesse Wheeler [ctb],
Jifan Li [ctb],
Ning Ning [ctb],
Haogao Gu [ctb]
Maintainer: Edward Ionides <ionides@umich.edu>
Diff between spatPomp versions 0.34.0 dated 2023-12-03 and 0.34.2 dated 2024-02-18
DESCRIPTION | 12 ++-- MD5 | 44 +++++++------- R/bpfilter.R | 2 R/girf.R | 124 ++++++++++++++++-------------------------- R/package.R | 3 - man/bpfilter.Rd | 2 man/enkf.Rd | 2 man/gbm.Rd | 2 man/girf.Rd | 2 man/he10.Rd | 2 man/lorenz.Rd | 2 man/measles.Rd | 2 man/undefined.Rd | 2 tests/bm.R | 14 +++- tests/bm.Rout.save | 35 +++++++---- tests/bm2.Rout.save | 8 -- tests/gbm.Rout.save | 8 -- tests/he10.Rout.save | 12 ---- tests/iter_filter.Rout.save | 8 -- tests/lorenz.Rout.save | 8 -- tests/measles.Rout.save | 8 -- tests/measles2.Rout.save | 8 -- tests/param_formats.Rout.save | 8 -- 23 files changed, 122 insertions(+), 196 deletions(-)
Title: Network Meta-Analysis Based on Multivariate Meta-Analysis Models
Description: Network meta-analysis tools based on contrast-based approach using the multivariate meta-analysis and meta-regression models (Noma et al. (2023) <Forthcoming>). Standard analysis tools for network meta-analysis and meta-regression (e.g., synthesis analysis, ranking analysis, and creating league table) are available by simple commands. For inconsistency analyses, the local and global inconsistency tests based on the Higgins' design-by-treatment interaction model can be applied. Also, the side-splitting and the Jackson's random inconsistency model are available. Standard graphical tools for network meta-analysis (e.g., network plot, ranked forest plot, and transitivity analysis) can also be utilized. For the synthesis analyses, the Noma-Hamura's improved REML (restricted maximum likelihood)-based methods (Noma et al. (2023) <doi:10.1002/jrsm.1652> <doi:10.1002/jrsm.1651>) are adopted as the default methods.
Author: Hisashi Noma [aut, cre] ,
Kazushi Maruo [aut],
Shiro Tanaka [aut],
Toshi A. Furukawa [aut]
Maintainer: Hisashi Noma <noma@ism.ac.jp>
Diff between NMA versions 1.4-1 dated 2023-12-21 and 1.4-2 dated 2024-02-18
DESCRIPTION | 9 +++++---- MD5 | 12 ++++++------ NEWS.md | 4 ++++ man/NMA-package.Rd | 4 ++-- man/nma.Rd | 4 ++-- man/nmaleague.Rd | 4 ++-- man/nmareg.Rd | 2 +- 7 files changed, 22 insertions(+), 17 deletions(-)
Title: Time Frame Coding Kernel Extensions
Description: Extensions and additional 'tframe' utilities.
Author: Paul Gilbert <pgilbert.ttv9z@ncf.ca>
Maintainer: Paul Gilbert <pgilbert.ttv9z@ncf.ca>
Diff between tframePlus versions 2022.3-1 dated 2022-03-10 and 2024.2-1 dated 2024-02-18
DESCRIPTION | 6 +++--- MD5 | 12 ++++++------ NEWS | 4 ++++ build/vignette.rds |binary inst/doc/Guide.pdf |binary man/timeSeries.Rd | 2 ++ man/tis.Rd | 2 +- 7 files changed, 16 insertions(+), 10 deletions(-)
Title: Build Machine Learning Models Like Using Python's Scikit-Learn
Library in R
Description: The idea is to provide a standard interface
to users who use both R and Python for building machine learning models.
This package provides a scikit-learn's fit, predict interface to
train machine learning models in R.
Author: Manish Saraswat [aut, cre]
Maintainer: Manish Saraswat <manish06saraswat@gmail.com>
Diff between superml versions 0.5.6 dated 2022-11-14 and 0.5.7 dated 2024-02-18
DESCRIPTION | 10 MD5 | 43 - NEWS.md | 5 R/CountVectorizer.R | 11 R/GridSearch.R | 12 R/KNNModel.R |only R/bm25.R | 10 R/super_utils.R | 2 README.md | 2 build/vignette.rds |binary inst/doc/Guide-to-CountVectorizer.R | 8 inst/doc/Guide-to-CountVectorizer.html | 222 ++--- inst/doc/Guide-to-TfidfVectorizer.R | 8 inst/doc/Guide-to-TfidfVectorizer.Rmd | 2 inst/doc/Guide-to-TfidfVectorizer.html | 261 +++--- inst/doc/introduction.R | 26 inst/doc/introduction.Rmd | 2 inst/doc/introduction.html | 1258 ++++++++++++++++----------------- man/check_package.Rd | 2 src/Makevars | 1 src/Makevars.win | 1 vignettes/Guide-to-TfidfVectorizer.Rmd | 2 vignettes/introduction.Rmd | 2 23 files changed, 940 insertions(+), 950 deletions(-)
Title: Set (Normal) Random Number Generator and Seed
Description: Provides utilities to help set and record the setting of
the seed and the uniform and normal generators used when a random
experiment is run. The utilities can be used in other functions
that do random experiments to simplify recording and/or setting all the
necessary information for reproducibility.
See the vignette and reference manual for examples.
Author: Paul Gilbert <pgilbert.ttv9z@ncf.ca>
Maintainer: Paul Gilbert <pgilbert.ttv9z@ncf.ca>
Diff between setRNG versions 2022.4-1 dated 2022-04-03 and 2024.2-1 dated 2024-02-18
DESCRIPTION | 6 +++--- MD5 | 10 +++++----- NEWS | 4 ++++ R/setRNG.R | 10 ++++++---- build/vignette.rds |binary inst/doc/setRNG.pdf |binary 6 files changed, 18 insertions(+), 12 deletions(-)
Title: Dynamic Systems Estimation - Extensions
Description: Provides functions for evaluating (time series) model
estimation methods. These facilitate Monte Carlo experiments of repeated
simulations and estimations. Also provides methods for
looking at the distribution of the results from these experiments,
including model roots (which are an equivalence class invariant).
Author: Paul Gilbert <pgilbert.ttv9z@ncf.ca>
Maintainer: Paul Gilbert <pgilbert.ttv9z@ncf.ca>
Diff between EvalEst versions 2021.2-1 dated 2021-03-02 and 2024.2-1 dated 2024-02-18
DESCRIPTION | 6 +++--- MD5 | 10 +++++----- NEWS | 4 ++++ R/EvalEst.R | 9 +++++---- build/vignette.rds |binary inst/doc/Guide.pdf |binary 6 files changed, 17 insertions(+), 12 deletions(-)
Title: Helper Functions for Linear Model Analysis
Description: A collection of helper functions for multiple
regression models fitted by lm(). Most of them are simple
functions for simple tasks which can be done with coding,
but may not be easy for occasional users of R. Most of
the tasks addressed are those sometimes needed when
using the 'manymome' package (Cheung and Cheung, 2023,
<doi:10.3758/s13428-023-02224-z>) and 'stdmod' package
(Cheung, Cheung, Lau, Hui, and Vong, 2022,
<doi:10.1037/hea0001188>). However, they can also be used
in other scenarios.
Author: Shu Fai Cheung [aut, cre]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>
Diff between lmhelprs versions 0.2.0 dated 2023-10-30 and 0.3.0 dated 2024-02-18
DESCRIPTION | 8 +++--- MD5 | 27 +++++++++++++++------- NAMESPACE | 4 +++ NEWS.md | 14 +++++++++++ R/hierarchical_lm.R | 35 +++++++++++++++++++++++++++++ R/hierarchical_lm_check.R |only R/many_lm.R |only R/print_lm_list_helprs.R |only R/summary_lm_list_helprs.R |only README.md | 12 ++++++--- build/vignette.rds |binary inst/figures |only inst/tinytest/test_hierarchical_lm.R | 5 ++++ inst/tinytest/test_hierarchical_lm_check.R |only inst/tinytest/test_test_many_lm.R |only man/figures |only man/hierarchical_lm.Rd | 24 +++++++++++++++++++ man/many_lm.Rd |only man/print.lm_list_lmhelprs.Rd |only man/summary.lm_list_lmhelprs.Rd |only 20 files changed, 113 insertions(+), 16 deletions(-)
Title: Predictive Power Score
Description: The Predictive Power Score (PPS) is an asymmetric, data-type-agnostic score
that can detect linear or non-linear relationships between two variables.
The score ranges from 0 (no predictive power) to 1 (perfect predictive power).
PPS can be useful for data exploration purposes, in the same way correlation analysis is.
For more information on PPS, see <https://github.com/paulvanderlaken/ppsr>.
Author: Paul van der Laken [aut, cre, cph]
Maintainer: Paul van der Laken <paulvanderlaken@gmail.com>
Diff between ppsr versions 0.0.2 dated 2021-03-02 and 0.0.5 dated 2024-02-18
DESCRIPTION | 26 ++---- MD5 | 28 +++--- NEWS.md | 23 +++++ R/ppsr.R | 1 R/score.R | 4 R/utils.R | 4 R/visualize.R | 30 +++++-- README.md | 115 +++++++++++++++++++-------- man/figures/README-PPS-barplot-1.png |binary man/figures/README-PPS-heatmap-1.png |binary man/figures/README-correlation-heatmap-1.png |binary man/figures/README-custom-plot-1.png |binary man/figures/README-sbs-heatmap-1.png |binary man/ppsr.Rd | 1 tests/testthat/Rplots.pdf |binary 15 files changed, 160 insertions(+), 72 deletions(-)
Title: Artificial Intelligence for Education
Description: In social and educational settings, the use of Artificial
Intelligence (AI) is a challenging task. Relevant data is often only
available in handwritten forms, or the use of data is restricted by
privacy policies. This often leads to small data sets. Furthermore, in the educational and social sciences,
data is often unbalanced in terms of
frequencies. To support educators as well as educational and social
researchers in using the potentials of AI for their work, this package
provides a unified interface for neural nets in 'keras',
'tensorflow', and 'pytorch' to deal with natural language problems. In addition,
the package ships with a shiny app, providing a graphical user interface.
This allows the usage of AI for people without skills in writing python/R scripts.
The tools integrate existing mathematical and statistical methods for dealing
with small data sets via pseudo-labeling (e.g. Lee (2013)
<https://www.researchgate.net/publication/280581078_Pseudo-Label_The_Simple_and_Efficie [...truncated...]
Author: Berding Florian [aut, cre] ,
Pargmann Julia [ctb],
Riebenbauer Elisabeth [ctb],
Rebmann Karin [ctb],
Slopinski Andreas [ctb]
Maintainer: Berding Florian <florian.berding@uni-hamburg.de>
Diff between aifeducation versions 0.3.0 dated 2023-10-10 and 0.3.1 dated 2024-02-18
aifeducation-0.3.0/aifeducation/inst/doc/classification_tasks.R |only aifeducation-0.3.0/aifeducation/inst/doc/classification_tasks.Rmd |only aifeducation-0.3.0/aifeducation/inst/doc/classification_tasks.html |only aifeducation-0.3.0/aifeducation/man/figures/README-pressure-1.png |only aifeducation-0.3.0/aifeducation/tests/testthat/test-14_classifier_neural_net.R |only aifeducation-0.3.0/aifeducation/tests/testthat/test-15_install_and_config.R |only aifeducation-0.3.0/aifeducation/vignettes/classif_fig_01.png |only aifeducation-0.3.0/aifeducation/vignettes/classif_fig_02.png |only aifeducation-0.3.0/aifeducation/vignettes/classif_fig_03.png |only aifeducation-0.3.0/aifeducation/vignettes/classif_fig_04.png |only aifeducation-0.3.0/aifeducation/vignettes/classif_fig_05.png |only aifeducation-0.3.0/aifeducation/vignettes/classif_fig_06.png |only aifeducation-0.3.0/aifeducation/vignettes/classification_tasks.Rmd |only aifeducation-0.3.1/aifeducation/DESCRIPTION | 34 aifeducation-0.3.1/aifeducation/MD5 | 161 - aifeducation-0.3.1/aifeducation/NAMESPACE | 20 aifeducation-0.3.1/aifeducation/NEWS.md | 95 aifeducation-0.3.1/aifeducation/R/RcppExports.R | 21 aifeducation-0.3.1/aifeducation/R/aif_gui.R |only aifeducation-0.3.1/aifeducation/R/aux_fct.R | 169 - aifeducation-0.3.1/aifeducation/R/aux_gui.R |only aifeducation-0.3.1/aifeducation/R/install_and_config.R | 228 - aifeducation-0.3.1/aifeducation/R/onLoad.R | 31 aifeducation-0.3.1/aifeducation/R/preparation.R | 47 aifeducation-0.3.1/aifeducation/R/saving_and_loading.R | 97 aifeducation-0.3.1/aifeducation/R/sustainability.R | 16 aifeducation-0.3.1/aifeducation/R/sysdata.rda |only aifeducation-0.3.1/aifeducation/R/te_classifier_neuralnet_model.R | 1564 ++++++---- aifeducation-0.3.1/aifeducation/R/text_embedding_model.R | 409 ++ aifeducation-0.3.1/aifeducation/R/transformer_bert.R | 534 ++- aifeducation-0.3.1/aifeducation/R/transformer_deberta_v2.R | 642 +++- aifeducation-0.3.1/aifeducation/R/transformer_funnel.R | 560 ++- aifeducation-0.3.1/aifeducation/R/transformer_longformer.R | 472 ++- aifeducation-0.3.1/aifeducation/R/transformer_roberta.R | 468 ++ aifeducation-0.3.1/aifeducation/README.md | 173 - aifeducation-0.3.1/aifeducation/build/partial.rdb |binary aifeducation-0.3.1/aifeducation/build/vignette.rds |binary aifeducation-0.3.1/aifeducation/inst/doc/aifeducation.R | 42 aifeducation-0.3.1/aifeducation/inst/doc/aifeducation.Rmd | 91 aifeducation-0.3.1/aifeducation/inst/doc/aifeducation.html | 146 aifeducation-0.3.1/aifeducation/inst/doc/sharing_and_publishing.R | 26 aifeducation-0.3.1/aifeducation/inst/doc/sharing_and_publishing.Rmd | 104 aifeducation-0.3.1/aifeducation/inst/doc/sharing_and_publishing.html | 272 - aifeducation-0.3.1/aifeducation/inst/python |only aifeducation-0.3.1/aifeducation/man/AifeducationConfiguration.Rd | 16 aifeducation-0.3.1/aifeducation/man/TextEmbeddingClassifierNeuralNet.Rd | 183 - aifeducation-0.3.1/aifeducation/man/TextEmbeddingModel.Rd | 92 aifeducation-0.3.1/aifeducation/man/array_to_matrix.Rd | 4 aifeducation-0.3.1/aifeducation/man/bow_pp_create_basic_text_rep.Rd | 30 aifeducation-0.3.1/aifeducation/man/bow_pp_create_vocab_draft.Rd | 17 aifeducation-0.3.1/aifeducation/man/calc_standard_classification_measures.Rd |only aifeducation-0.3.1/aifeducation/man/check_aif_py_modules.Rd | 6 aifeducation-0.3.1/aifeducation/man/check_embedding_models.Rd | 4 aifeducation-0.3.1/aifeducation/man/create_bert_model.Rd | 241 - aifeducation-0.3.1/aifeducation/man/create_deberta_v2_model.Rd | 23 aifeducation-0.3.1/aifeducation/man/create_funnel_model.Rd | 9 aifeducation-0.3.1/aifeducation/man/create_iota2_mean_object.Rd | 4 aifeducation-0.3.1/aifeducation/man/create_longformer_model.Rd | 9 aifeducation-0.3.1/aifeducation/man/create_roberta_model.Rd | 9 aifeducation-0.3.1/aifeducation/man/create_synthetic_units.Rd | 6 aifeducation-0.3.1/aifeducation/man/figures/gui_aife_readme.JPG |only aifeducation-0.3.1/aifeducation/man/generate_id.Rd | 4 aifeducation-0.3.1/aifeducation/man/get_coder_metrics.Rd | 43 aifeducation-0.3.1/aifeducation/man/get_folds.Rd | 12 aifeducation-0.3.1/aifeducation/man/get_n_chunks.Rd | 4 aifeducation-0.3.1/aifeducation/man/get_stratified_train_test_split.Rd | 4 aifeducation-0.3.1/aifeducation/man/get_synthetic_cases.Rd | 12 aifeducation-0.3.1/aifeducation/man/get_train_test_split.Rd | 12 aifeducation-0.3.1/aifeducation/man/install_py_modules.Rd | 8 aifeducation-0.3.1/aifeducation/man/load_ai_model.Rd | 2 aifeducation-0.3.1/aifeducation/man/matrix_to_array_c.Rd | 6 aifeducation-0.3.1/aifeducation/man/save_ai_model.Rd | 26 aifeducation-0.3.1/aifeducation/man/split_labeled_unlabeled.Rd | 10 aifeducation-0.3.1/aifeducation/man/start_aifeducation_studio.Rd |only aifeducation-0.3.1/aifeducation/man/summarize_tracked_sustainability.Rd | 4 aifeducation-0.3.1/aifeducation/man/to_categorical_c.Rd |only aifeducation-0.3.1/aifeducation/man/train_tune_bert_model.Rd | 284 - aifeducation-0.3.1/aifeducation/man/train_tune_deberta_v2_model.Rd | 18 aifeducation-0.3.1/aifeducation/man/train_tune_funnel_model.Rd | 18 aifeducation-0.3.1/aifeducation/man/train_tune_longformer_model.Rd | 14 aifeducation-0.3.1/aifeducation/man/train_tune_roberta_model.Rd | 14 aifeducation-0.3.1/aifeducation/man/update_aifeducation_progress_bar.Rd |only aifeducation-0.3.1/aifeducation/man/update_aifeducation_progress_bar_epochs.Rd |only aifeducation-0.3.1/aifeducation/man/update_aifeducation_progress_bar_steps.Rd |only aifeducation-0.3.1/aifeducation/src/RcppExports.cpp | 13 aifeducation-0.3.1/aifeducation/src/aux_fcts.cpp | 31 aifeducation-0.3.1/aifeducation/tests/testthat/test-03_text_embedding_model_gvc_lda.R | 12 aifeducation-0.3.1/aifeducation/tests/testthat/test-04_transformer_models.R | 196 + aifeducation-0.3.1/aifeducation/tests/testthat/test-05_classifier_neural_net.R |only aifeducation-0.3.1/aifeducation/tests/testthat/test-06_install_and_config.R |only aifeducation-0.3.1/aifeducation/vignettes/aifeducation.Rmd | 91 aifeducation-0.3.1/aifeducation/vignettes/sharing_and_publishing.Rmd | 104 92 files changed, 5715 insertions(+), 2302 deletions(-)
Title: Advanced Graphics and Image-Processing in R
Description: Bindings to 'ImageMagick': the most comprehensive open-source image
processing library available. Supports many common formats (png, jpeg, tiff,
pdf, etc) and manipulations (rotate, scale, crop, trim, flip, blur, etc).
All operations are vectorized via the Magick++ STL meaning they operate either
on a single frame or a series of frames for working with layers, collages,
or animation. In RStudio images are automatically previewed when printed to
the console, resulting in an interactive editing environment. The latest
version of the package includes a native graphics device for creating
in-memory graphics or drawing onto images using pixel coordinates.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>
Diff between magick versions 2.8.2 dated 2023-12-20 and 2.8.3 dated 2024-02-18
DESCRIPTION | 8 +-- LICENSE | 2 MD5 | 48 +++++++++++----------- NAMESPACE | 2 NEWS | 4 + R/RcppExports.R | 8 +++ R/edges.R | 4 - R/morphology.R | 32 +++++++-------- R/options.R | 18 ++++++++ R/paint.R | 3 - R/segmentation.R | 8 +-- R/threshold.R | 4 - configure | 4 - inst/doc/intro.R | 26 ++++++------ inst/doc/intro.Rmd | 37 +++++++---------- inst/doc/intro.html | 110 ++++++++++++++++++++++++---------------------------- man/edges.Rd | 4 - man/morphology.Rd | 32 +++++++-------- man/options.Rd | 14 ++++++ man/painting.Rd | 5 +- man/segmentation.Rd | 8 +-- man/thresholding.Rd | 4 - src/RcppExports.cpp | 22 ++++++++++ src/options.cpp | 49 +++++++++++++++++++++++ vignettes/intro.Rmd | 37 +++++++---------- 25 files changed, 295 insertions(+), 198 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-10-15 0.1.2
2022-06-23 0.1.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-12-04 0.1.3
2023-07-16 0.1.2
2023-04-19 0.1.1
2023-02-18 0.1.0
2023-01-20 0.0.9
2022-10-14 0.0.8
2022-09-19 0.0.7
2022-08-25 0.0.6
2022-08-06 0.0.5
2022-05-29 0.0.4
2022-02-16 0.0.3
2022-02-14 0.0.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-07-03 1.0.1
2023-06-03 1.0.0
2023-03-14 0.2.9
2022-10-15 0.2.7
2022-08-25 0.2.6
2022-05-30 0.2.5
2021-12-03 0.2.4
2021-10-13 0.2.3
2021-08-03 0.2.1
2021-07-27 0.2.0
2021-01-10 0.1.9
2020-06-23 0.1.8
2020-05-12 0.1.7
2020-01-20 0.1.5
2019-10-18 0.1.4
2019-09-10 0.1.3
2019-06-28 0.1.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-07-16 0.9.0
2023-03-15 0.1.0
2022-10-14 0.0.9
2022-08-25 0.0.8
2022-06-20 0.0.7
2022-05-30 0.0.6
2021-10-13 0.0.5
2021-08-05 0.0.4
2020-08-14 0.0.3
Title: Supplemental S-PLUS Functionality in R
Description: Currently there are many functions in S-PLUS that are
missing in R. To facilitate the conversion of S-PLUS packages to R packages,
this package provides some missing S-PLUS functionality in R.
Author: William Constantine [aut],
Tim Hesterberg [aut],
Knut Wittkowski [ctb],
Tingting Song [ctb],
Bill Dunlap [ctb],
Stephen Kaluzny [ctb, cre]
Maintainer: Stephen Kaluzny <spkaluzny@gmail.com>
Diff between splus2R versions 1.3-4 dated 2023-12-06 and 1.3-5 dated 2024-02-18
DESCRIPTION | 6 +++--- MD5 | 10 +++++----- R/doTest.R | 17 +++++++---------- R/muS2RC.R | 24 +----------------------- inst/examples.t | 2 +- man/expectStop.Rd | 4 +--- 6 files changed, 18 insertions(+), 45 deletions(-)
Title: A Data Specification Format and Interface
Description: Creates a data specification that describes the columns of a
table (data.frame). Provides methods to read, write, and update the
specification. Checks whether a table matches its specification. See
specification.data.frame(),read.spec(), write.spec(), as.csv.spec(),
respecify.character(), and %matches%.data.frame().
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>
Diff between spec versions 0.1.7 dated 2019-04-25 and 0.1.9 dated 2024-02-18
DESCRIPTION | 8 +-- MD5 | 75 ++++++++++++++++++------------- NAMESPACE | 1 R/spec.R | 27 +++++++---- man/as.spec.Rd | 9 ++- man/as.spec.character.Rd | 9 ++- man/as.spec.data.frame.Rd | 9 ++- man/as.vector.spec.Rd | 1 man/codes.spec.Rd | 1 man/decodes.spec.Rd | 1 man/dot-guide.Rd |only man/dot-guide.default.Rd |only man/dot-guide.factor.Rd |only man/dot-guide.integer.Rd |only man/dot-guide.numeric.Rd |only man/dot-label.Rd |only man/dot-label.default.Rd |only man/dot-required.Rd |only man/dot-required.default.Rd |only man/dot-type.Rd |only man/dot-type.default.Rd |only man/dot-type.numeric.Rd |only man/dot-type.timepoint.Rd |only man/drug.Rd | 6 +- man/encoded.spec.Rd | 1 man/grapes-matches-grapes-.character.Rd | 9 ++- man/grapes-matches-grapes-.data.frame.Rd | 9 ++- man/grapes-matches-grapes-.spec.Rd | 10 ++-- man/grapes-matches-grapes.Rd | 10 ++-- man/guidetext.Rd | 4 + man/guidetext.spec.Rd | 4 + man/labels.spec.Rd | 10 ++-- man/print.spec.Rd | 1 man/read.spec.Rd | 9 ++- man/respecify.Rd | 6 +- man/respecify.character.Rd | 9 ++- man/respecify.spec.Rd | 14 +++-- man/specification.Rd | 8 ++- man/specification.comment.Rd | 8 ++- man/specification.data.frame.Rd | 8 ++- man/specification.default.Rd | 8 ++- man/specify.Rd | 6 +- man/specify.character.Rd | 9 ++- man/specify.data.frame.Rd | 8 ++- man/write.spec.Rd | 9 ++- 45 files changed, 191 insertions(+), 116 deletions(-)
Title: Data-Driven Plot Design
Description: Designs plots in terms of core structure. See 'example(metaplot)'.
Primary arguments are (unquoted) column names; order and type (numeric or not)
dictate the resulting plot. Specify any y variables, x variable, any groups variable,
and any conditioning variables to metaplot() to generate density plots, boxplots,
mosaic plots, scatterplots, scatterplot matrices, or conditioned plots. Use multiplot()
to arrange plots in grids. Wherever present, scalar column attributes 'label' and 'guide'
are honored, producing fully annotated plots with minimal effort. Attribute 'guide'
is typically units, but may be encoded() to provide interpretations of categorical
values (see '?encode'). Utility unpack() transforms scalar column attributes to row
values and pack() does the reverse, supporting tool-neutral storage of metadata along
with primary data. The package supports customizable aesthetics such as such as reference
lines, unity lines, smooths, log transformation, and linear fits. The user may [...truncated...]
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>
Diff between metaplot versions 0.8.3 dated 2019-04-25 and 0.8.4 dated 2024-02-18
DESCRIPTION | 9 +-- MD5 | 110 +++++++++++++++++++------------------- R/corsplom.R | 3 - R/metaplot.R | 4 - R/utils.R | 6 +- man/axislabel.Rd | 19 ++++-- man/axislabel.data.frame.Rd | 26 +++++--- man/boxplot.data.frame.Rd | 40 ++++++++----- man/boxplot_data_frame.Rd | 58 +++++++++++++------- man/boxplot_panel.Rd | 55 ++++++++++++------- man/categorical.Rd | 24 +++++--- man/categorical.data.frame.Rd | 40 ++++++++----- man/categorical_data_frame.Rd | 47 ++++++++++------ man/categorical_panel.Rd | 57 ++++++++++++------- man/cax.Rd | 6 +- man/corsplom.Rd | 35 +++++++----- man/corsplom.data.frame.Rd | 57 +++++++++++-------- man/corsplom_data_frame.Rd | 73 ++++++++++++++----------- man/corsplom_gg_correlation.Rd | 70 ++++++++++++++---------- man/corsplom_gg_diagonal.Rd | 65 +++++++++++++--------- man/corsplom_gg_scatter.Rd | 65 +++++++++++++--------- man/corsplom_panel_correlation.Rd | 62 ++++++++++++--------- man/corsplom_panel_diagonal.Rd | 43 +++++++++----- man/corsplom_panel_scatter.Rd | 66 +++++++++++++--------- man/dens_panel.Rd | 59 ++++++++++++-------- man/densplot.Rd | 33 +++++++---- man/densplot.data.frame.Rd | 49 ++++++++++------ man/densplot_data_frame.Rd | 83 +++++++++++++++++----------- man/diag_label.Rd | 53 +++++++++++------- man/diag_pin.Rd | 40 +++++++------ man/iso_prepanel.Rd | 43 ++++++++------ man/metaplot.Rd | 37 +++++++----- man/metaplot.data.frame.Rd | 68 ++++++++++++++--------- man/metaplot_key.Rd | 78 ++++++++++++++++---------- man/metaplot_ref.Rd | 40 +++++++------ man/metastats.Rd | 14 +++- man/model.Rd | 14 +++- man/pack.Rd | 22 +++++-- man/pack.data.frame.Rd | 41 ++++++++------ man/panel.meta_densityplot.Rd | 64 ++++++++++++++-------- man/panel_tile.Rd | 63 ++++++++++++++------- man/plot.metaplot_gtable.Rd | 44 +++++++-------- man/print.metaplot_gtable.Rd | 42 +++++++------- man/region.Rd | 20 ++++-- man/scatter.Rd | 35 +++++++----- man/scatter.data.frame.Rd | 54 +++++++++++------- man/scatter_data_frame.Rd | 81 +++++++++++++++++---------- man/scatter_panel.Rd | 60 +++++++++++++------- man/scatter_panel_ref.Rd | 38 +++++++------ man/test_metaplot.Rd | 30 ++++++---- man/tiles.Rd | 6 +- man/tilestats.Rd | 6 +- man/unpack.Rd | 22 +++++-- man/unpack.data.frame.Rd | 40 ++++++++----- man/wikisym2plotmath.Rd | 6 +- man/wikisym2plotmath_.Rd | 6 +- 56 files changed, 1421 insertions(+), 910 deletions(-)